The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Integrating Phenotypic Disturbance Metrics into a Data-driven Optimization Strategy for Groundwater Bioaugmentation (AGU25)

Integrating Phenotypic Disturbance Metrics into a Data-driven Optimization Strategy for Groundwater Bioaugmentation

Jin-Kyung Hong1, Soo Bin Kim2, Joonhong Park3, Hyunsoo LIM3 and Tae Kwon Lee2, (1)Chonnam National University, Gwangju, Korea, Republic of (South), (2)Yonsei University, Department of Environmental and Energy Engineering, Wonju, South Korea, (3)Yonsei University, Department of Civil and Environmental Engineering, Seoul, South Korea
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